Lu Jiang

Cited by

	All	Since 2018
Citations	7360	6191
h-index	41	34
i10-index	67	56

1900

950

475

1425

20122013201420152016201720182019202020212022202324 51 109 183 335 399 441 627 1076 1638 1868 527

Public access

View all

21 articles

1 article

available

not available

Based on funding mandates

Co-authors

Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Yi YangZhejiang UniversityVerified email at zju.edu.cn
Li-Jia LiChief AI Fellow, RWE for Sleep, School of Medicine, Stanford UniversityVerified email at cs.stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Teruko MitamuraResearch Professor of Language Technologies Institute, School of Computer Science, Carnegie MellonVerified email at cs.cmu.edu
Ming-Hsuan YangUniversity of California at Merced; GoogleVerified email at ucmerced.edu
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Yong ChengGoogle ResearchVerified email at google.com
Ce LiuChief Architect for Computer Vision, Microsoft Azure AI; IEEE FellowVerified email at microsoft.com
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Thomas LeungGoogle IncVerified email at google.com
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Verified email at cs.stanford.edu
Liangliang CaoApple IncVerified email at apple.com
Mahadev SatyanarayananCarnegie Group University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Qian FengBaidu X-LabVerified email at baidu.com

Lu Jiang

Research Scientist, Google & Adjunct Professor, CMU

Verified email at cs.cmu.edu - Homepage

Generative AI Foundation Model Robust Deep Learning Multimedia Curriculum Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei ICML, 2018	1153	2018
Contrastive Adaptation Network for Unsupervised Domain Adaptation G Kang, L Jiang, Y Yang, AG Hauptmann CVPR, 2019	633	2019
Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, A Hauptmann AAAI, 2015	501	2015
Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in neural information processing systems 27, 2014	367	2014
Confident learning: Estimating uncertainty in dataset labels C Northcutt, L Jiang, I Chuang Journal of Artificial Intelligence Research 70, 1373-1411, 2021	332	2021
Peeking into the Future: Predicting Future Person Activities and Locations in Videos J Liang, L Jiang, JC Niebles, A Hauptmann, L Fei-Fei CVPR, 2019	316	2019
Easy samples first: Self-paced reranking for zero-example multimedia search L Jiang, D Meng, T Mitamura, AG Hauptmann ACM international conference on Multimedia, 2014	291	2014
Eidetic 3D LSTM: A Model for Video Prediction and Beyond Y Wang, L Jiang, MH Yang, LJ Li, M Long, L Fei-Fei ICLR, 2019	262	2019
Composing Text and Image for Image Retrieval-An Empirical Odyssey N Vo, L Jiang, C Sun, K Murphy, LJ Li, L Fei-Fei, J Hays CVPR, 2019	207	2019
Robust Neural Machine Translation with Doubly Adversarial Inputs Y Cheng, L Jiang, W Macherey ACL, 2019	203	2019
Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, A Hauptmann AAAI, 2015	155	2015
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels L Jiang, D Huang, L Mason, W Yang ICML, 2020	130	2020
Revealing event saliency in unconstrained video collection D Zhang, J Han, L Jiang, S Ye, X Chang IEEE Transactions on Image Processing 26 (4), 1746-1758, 2017	130	2017
A self-paced multiple-instance learning framework for co-saliency detection D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han Proceedings of the IEEE international conference on computer vision, 594-602, 2015	128	2015
A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017	114	2017
The garden of forking paths: Towards multi-future trajectory prediction J Liang, L Jiang, K Murphy, T Yu, A Hauptmann CVPR, 2020	105	2020
Focal visual-text attention for visual question answering J Liang, L Jiang, L Cao, LJ Li, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	99	2018
Viral video style: A closer look at viral videos on youtube L Jiang, Y Miao, Y Yang, Z Lan, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 193-200, 2014	95	2014
Graph Distillation for Action Detection with Privileged Modalities Z Luo, JT Hsieh, L Jiang, JC Niebles, L Fei-Fei ECCV, 2018	94	2018
Bridging the ultimate semantic gap: A semantic search engine for internet videos L Jiang, SI Yu, D Meng, T Mitamura, AG Hauptmann Proceedings of the 5th ACM on International Conference on Multimedia …, 2015	86*	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors